ddf-pipeline carries out several iterations of direction-dependent self-calibration on your LOFAR imaging data using DDFacet and KillMS For more on KillMS see Tasse 2014a,b (http://adsabs.harvard.edu/abs/2014arXiv1410.8706T http://adsabs.harvard.edu/abs/2014A%26A...566A.127T) and Smirnov & Tasse 2015 (http://adsabs.harvard.edu/abs/2015MNRAS.449.2668S); for DDFacet see Tasse et al 2017 (https://arxiv.org/abs/1712.02078). The objective of ddf-pipeline is to fully reduce LOFAR (continuum, Stokes I) imaging data to a science-ready state with no human intervention. ddf-pipeline is currently in use by the LOFAR Surveys KSP for reduction of the LoTSS survey (Shimwell et al 2017 http://adsabs.harvard.edu/abs/2017A%26A...598A.104S).

ddf-pipeline was written by Martin Hardcastle, Tim Shimwell, Cyril Tasse and Wendy Williams and is described by Shimwell et al (2019 https://ui.adsabs.harvard.edu/abs/2019A%26A...622A...1S/abstract) and Tasse et al (2020 in prep). Scientific users of ddf-pipeline are requested to cite the relevant papers and provide a link to the ddf-pipeline github.

ddf-pipeline is licensed under the GPL and is free to use. For full documentation and installation instructions see docs/manual.md.